P. Votava

3.9k total citations · 1 hit paper
36 papers, 2.7k citations indexed

About

P. Votava is a scholar working on Global and Planetary Change, Ecology and Computer Networks and Communications. According to data from OpenAlex, P. Votava has authored 36 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Global and Planetary Change, 12 papers in Ecology and 8 papers in Computer Networks and Communications. Recurrent topics in P. Votava's work include Remote Sensing in Agriculture (12 papers), Distributed and Parallel Computing Systems (7 papers) and Land Use and Ecosystem Services (6 papers). P. Votava is often cited by papers focused on Remote Sensing in Agriculture (12 papers), Distributed and Parallel Computing Systems (7 papers) and Land Use and Ecosystem Services (6 papers). P. Votava collaborates with scholars based in United States, China and India. P. Votava's co-authors include Ramakrishna Nemani, Steven W. Running, Joseph Glassy, Yuri Knyazikhin, Ranga B. Myneni, Xiaoyu Song, Samuel M. Hoffman, Alexander Lotsch, J. T. Morisette and M. A. Friedl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

P. Votava

34 papers receiving 2.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data

2002 1.6k citations Ranga B. Myneni, P. Votava et al. Remote Sensing of Environment profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
P. Votava United States	13	1.9k	1.6k	879	474	442	36	2.7k
Joseph Glassy United States	15	2.1k 1.1×	1.7k 1.1×	1.2k 1.4×	868 1.8×	424 1.0×	21	3.2k
Omar Sy Netherlands	4	1.2k 0.7×	1.8k 1.2×	1.1k 1.3×	606 1.3×	302 0.7×	7	3.2k
Bianca Hoersch Italy	4	1.3k 0.7×	1.8k 1.2×	1.1k 1.3×	616 1.3×	310 0.7×	9	3.2k
Franco Marchese Germany	3	1.2k 0.6×	1.7k 1.1×	1.1k 1.2×	580 1.2×	289 0.7×	6	3.0k
Martin Claverie United States	18	1.9k 1.0×	2.3k 1.5×	1.3k 1.5×	720 1.5×	458 1.0×	37	3.6k
Paolo Laberinti Netherlands	4	1.2k 0.6×	1.8k 1.1×	1.1k 1.3×	598 1.3×	297 0.7×	8	3.1k
Qinchuan Xin China	34	1.4k 0.8×	1.5k 0.9×	1.0k 1.2×	674 1.4×	370 0.8×	104	3.3k
Frank Veroustraete Belgium	28	2.0k 1.1×	2.0k 1.3×	1.3k 1.5×	718 1.5×	765 1.7×	68	3.5k
David A.J. Ripley United States	3	1.4k 0.7×	1.2k 0.8×	1.1k 1.3×	600 1.3×	314 0.7×	5	2.4k
B. Franch United States	24	1.7k 0.9×	2.0k 1.2×	1.4k 1.6×	757 1.6×	392 0.9×	67	3.3k

Countries citing papers authored by P. Votava

Since Specialization

Citations

This map shows the geographic impact of P. Votava's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by P. Votava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Votava more than expected).

Fields of papers citing papers by P. Votava

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Votava. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by P. Votava. The network helps show where P. Votava may publish in the future.

Co-authorship network of co-authors of P. Votava

This figure shows the co-authorship network connecting the top 25 collaborators of P. Votava. A scholar is included among the top collaborators of P. Votava based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. Votava. P. Votava is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Votava, P., et al.. (2022). Comparison of Efficacy and Safety of Non-Regenerated and Regenerated Oxidized Cellulose Based Fibrous Haemostats. SHILAP Revista de lepidopterología. 65(2). 53–58.

Kumar, Uttam, Sangram Ganguly, Ramakrishna Nemani, et al.. (2017). Exploring Subpixel Learning Algorithms for Estimating Global Land Cover Fractions from Satellite Data Using High Performance Computing. Remote Sensing. 9(11). 1105–1105. 11 indexed citations

Votava, P., et al.. (2016). GeoNotebook: Browser based Interactive analysis and visualization workflow for very large climate and geospatial datasets. AGU Fall Meeting Abstracts. 2016. 3 indexed citations

Zhang, Jia, et al.. (2013). Bridging VisTrails Scientific Workflow Management System to High Performance Computing. 579. 29–36. 3 indexed citations

Melton, Forrest, A. Michaelis, R. R. Nemani, et al.. (2011). Web Services for Satellite Irrigation Monitoring and Management Support. AGU Fall Meeting Abstracts. 2011. 1 indexed citations

Nemani, R. R., P. Votava, A. Michaelis, Forrest Melton, & C. Milesi. (2011). NASA Earth Exchange: Next Generation Earth Science Collaborative. AGUFM. 2011. 2 indexed citations

Das, Kamalika, Kanishka Bhaduri, & P. Votava. (2011). Distributed anomaly detection using 1‐class SVM for vertically partitioned data. Statistical Analysis and Data Mining The ASA Data Science Journal. 4(4). 393–406. 13 indexed citations

Hashimoto, Hirofumi, et al.. (2010). Characterizing uncertainties in recent trends of global terrestrial net primary production through ensemble modeling. AGUFM. 2010. 3 indexed citations

Nemani, R. R., P. Votava, A. Michaelis, et al.. (2010). NASA Earth Exchange: A Collaborative Earth Science Platform. AGU Fall Meeting Abstracts. 2010. 4 indexed citations

10.

Johnson, Lee, R. R. Nemani, Forrest Melton, et al.. (2010). Information Technology Supports Integration of Satellite Imagery with Irrigation Management in California's Central Valley. 2 indexed citations

11.

Bhaduri, Kanishka, Kamalika Das, & P. Votava. (2010). Distributed Anomaly Detection using Satellite Data From Multiple Modalitie.. 109–123. 8 indexed citations

12.

Dungan, Jennifer, et al.. (2010). Sources of Uncertainty in Predicting Land Surface Fluxes Using Diverse Data and Models. NASA Technical Reports Server (NASA). 1 indexed citations

13.

Ganguly, Sangram, Jennifer Dungan, Feng Gao, et al.. (2009). Mapping vegetation Leaf Area Index globally at 30m using Landsat/Global Land Survey data. AGU Fall Meeting Abstracts. 2009. 1 indexed citations

14.

Nemani, Ramakrishna, Hirofumi Hashimoto, P. Votava, et al.. (2009). Monitoring and forecasting ecosystem dynamics using the Terrestrial Observation and Prediction System (TOPS). Remote Sensing of Environment. 113(7). 1497–1509. 104 indexed citations

15.

Ichii, Kazuhito, Michael A. White, Hirofumi Hashimoto, et al.. (2006). Develop a Continental-scale Measure of Gross Primary Production by Combining MODIS and AmeriFlux Data through Support Vector Machine. AGUFM. 2006. 2 indexed citations

16.

White, Michael A., Andrew Michaelis, Kazuhito Ichii, et al.. (2006). Prediction of Continental-Scale Evapotranspiration by Combining MODIS and AmeriFlux Data Through Support Vector Machine. IEEE Transactions on Geoscience and Remote Sensing. 44(11). 3452–3461. 146 indexed citations

17.

Golden, Keith, et al.. (2003). Automating the Processing of Earth Observation Data. 10 indexed citations

18.

Nemani, R. R., P. Votava, John O. Roads, et al.. (2003). Terrestrial Observation and Prediction System: integration of satellite and surface weather observations with ecosystem models. 4. 2394–2396. 9 indexed citations

19.

Votava, P., et al.. (2002). Distributed Application Framework for Earth Science Data Processing. AGU Fall Meeting Abstracts. 2002. 4 indexed citations

20.

Votava, P., et al.. (2002). Terrestrial Observation and Prediction System: Integration of satellite and surface weather observations with ecosystem models. AGUFM. 2002. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact